Jing Dai
Impact in
-
- Digital Transformation in Industry
- Manufacturing Process and Optimization
Papers in
-
- Video Surveillance and Tracking Methods 2
-
- Anomaly Detection Techniques and Applications 4
- Advanced Computational Techniques and Applications 2
- Co-authors
- Diyin Tang (5 shared papers)Jinsong Yu (4 shared papers)Yue Song (2 shared papers)Mong Li Lee (1 shared paper)Wynne Hsu (1 shared paper)Yunan Li (1 shared paper)Yining Quan (1 shared paper)Xiaoyi Feng (3 shared papers)
In The Last Decade
Jing Dai
24 papers receiving 314 citations
Peers
Comparison fields: 5 of 70
- Industrial and Manufacturing Engineering 64
- Safety, Risk, Reliability and Quality 42
- Medical Laboratory Technology 6
- Signal Processing 37
- Control and Systems Engineering 60
Countries citing papers authored by Jing Dai
This map shows the geographic impact of Jing Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Dai more than expected).
Fields of papers citing papers by Jing Dai
This network shows the impact of papers produced by Jing Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Dai. The network helps show where Jing Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2021 | 45 | |
| 3 | 2018 | 37 | |
| 4 | 2016 | 24 | |
| 5 | 2024 | 19 | |
| 6 | 2003 | 18 | |
| 7 | 2018 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2016 | 4 | |
| 12 | 2020 | 4 | |
| 13 | On-line Fault Diagnose of Distribution System Based on Modified Rough Sets Reduction Algorithm | 2007 | 3 |
| 14 | Rapid Eye Localization Based on Projection Peak | 2009 | 3 |
| 15 | 2017 | 3 | |
| 16 | Behavior Analysis Based SMS Spammer Detection in Mobile Communication Networks | 2016 | 2 |
| 17 | Novel Approach for Aviation Electromechanical System Testability Modeling and Analysis | 2010 | 2 |
| 18 | 2020 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2014 | 1 |
About Jing Dai
Jing Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Information Systems and Computer Networks and Communications, having authored 25 papers that have together received 321 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (4 papers), Anomaly Detection Techniques and Applications (4 papers), Spam and Phishing Detection (2 papers), Traffic and Road Safety (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Computational Techniques and Applications (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Engineering and Test Systems (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (64 citations), Safety, Risk, Reliability and Quality (42 citations), Medical Laboratory Technology (6 citations), Signal Processing (37 citations) and Control and Systems Engineering (60 citations). Jing Dai has collaborated with scholars based in China, Italy and Singapore. Frequent co-authors include Diyin Tang, Jinsong Yu, Yue Song, Mong Li Lee, Wynne Hsu, Yunan Li, Yining Quan, Xiaoyi Feng, Zhaoqiang Xia and Pengfei Xu. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Neurocomputing, International Journal of Machine Learning and Cybernetics, International Journal of Environmental Research and Public Health and Journal of Intelligent & Fuzzy Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.